ArticleSurgical endoscopy2021
A learning robot for cognitive camera control in minimally invasive surgery.
Article in Surgical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial intelligence augmented tutoring vs expert instruction on learning simulated general surgical skills: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Robot-assisted surgery in thoracic and visceral indications: an updated systematic review.Surgical endoscopy · 2024Pooled it
- Video-based analysis of camera-instrument distance dynamics and operative efficiency in expert and novice robot-assisted partial nephrectomy.Journal of robotic surgery · 2026Article
- Applications of Reinforcement Learning for Autonomous Surgical Robotics: A Systematic Review.Biomimetics (Basel, Switzerland) · 2026Review
- Surgeon-authorized natural-language and instrument-tracking shared control for robotic laparoscope holding: the EndoVISTA simulator and porcine feasibility study.Journal of robotic surgery · 2026Article
- Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances.Journal of personalized medicine · 2026Review
- Artificial Intelligence in Gastrointestinal Surgery: A Systematic Review of Its Role in Laparoscopic and Robotic Surgery.Journal of personalized medicine · 2025Review
- Objective performance indicators differ in obese and nonobese patients during robotic proctectomy.Surgery · 2024Article
- The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System.Bioengineering (Basel, Switzerland) · 2024Review
- Precision at scale: Machine learning revolutionizing laparoscopic surgery.World journal of clinical oncology · 2024Article
- A surgical activity model of laparoscopic cholecystectomy for co-operation with collaborative robots.Surgical endoscopy · 2024Article
- [The digital operating room : Chances and risks of artificial intelligence].Chirurgie (Heidelberg, Germany) · 2024Review
- Combining brain-computer interfaces with deep reinforcement learning for robot training: a feasibility study in a simulation environment.Frontiers in neuroergonomics · 2023Article
- Artificial intelligence in improving the outcome of surgical treatment in colorectal cancer.Frontiers in oncology · 2023Review
- Concepts and Trends n Autonomy for Robot-Assisted Surgery.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- Surgical data science - from concepts toward clinical translation.Medical image analysis · 2022Review
- Robotic Endoscope Control Via Autonomous Instrument Tracking.Frontiers in robotics and AI · 2022Article
- Deep homography estimation in dynamic surgical scenes for laparoscopic camera motion extraction.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2022Article
- Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?Sensors (Basel, Switzerland) · 2021Review
- Investigating the utility of VR for spatial understanding in surgical planning: evaluation of head-mounted to desktop display.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe demonstrate the first self-learning, context-sensitive, autonomous camera-guiding robot applicable to minimally invasive surgery. The majority of surgical robots nowadays are telemanipulators without autonomous capabilities. Autonomous systems have been developed for laparoscopic camera guidance, however following simple rules and not adapting their behavior to specific tasks, procedures, or surgeons.
methodsThe herein presented methodology allows different robot kinematics to perceive their environment, interpret it according to a knowledge base and perform context-aware actions. For training, twenty operations were conducted with human camera guidance by a single surgeon. Subsequently, we experimentally evaluated the cognitive robotic camera control. A VIKY EP system and a KUKA LWR 4 robot were trained on data from manual camera guidance after completion of the surgeon's learning curve. Second, only data from VIKY EP were used to train the LWR and finally data from training with the LWR were used to re-train the LWR.
resultsThe duration of each operation decreased with the robot's increasing experience from 1704 s ± 244 s to 1406 s ± 112 s, and 1197 s. Camera guidance quality (good/neutral/poor) improved from 38.6/53.4/7.9 to 49.4/46.3/4.1% and 56.2/41.0/2.8%.
conclusionsThe cognitive camera robot improved its performance with experience, laying the foundation for a new generation of cognitive surgical robots that adapt to a surgeon's needs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.